Handbook of Web Surveys

The updated, must-have guide for creating and implementing web surveys

Revised and thoroughly updated, the second edition of Handbook of Web Surveys offers a practical and comprehensive guide for creating and conducting effective web surveys. The authors noted experts on the topic, include a review the Blaise system (which has been around for 30 years) and provide information on the most recent developments and techniques in the field. The book illustrates the steps needed to develop effective web surveys and explains how the survey process should be carried out. It also examines the aspects of sampling and presents a number of sampling designs.

The book includes ideas for overcoming possible errors in measurement and nonresponse. The authors also compare the various methods of data collection (face-to-face, telephone, mail, and mobile surveys) and discuss their advantages and disadvantages. Critical information for designing questionnaires for mobile devices is also provided. Filled with real-world examples, Handbook of Web Surveys discuss the key concepts, methods, and techniques of effective web surveys. This important book:

• Contains the most recent sampling designs and estimation procedures
• Offers ideas for overcoming errors in web surveys
• Includes information on mixed mode surveys
• Explores the concept of response probabilities
• Reviews all aspects of web panels

Written for researchers in government, business, economics, and social scientists, the second edition of Handbook of Web Surveys provides an introduction to web surveys and the various methods and techniques.

Jelke Bethlehem, PhD, is Professor by special appointment in survey methodology at Leiden University, Netherlands. He is also senior methodological advisor at Statistics Netherlands in The Hague. He is coauthor of Handbook of Nonresponse in Household Surveys, Handbook of Web Surveys (First Edition), and Applied Survey Methods: A Statistical Perspective, published by Wiley. Dr. Bethlehem is also coeditor of Online Panel Research: A Data Quality Perspective and Computer Assisted Survey Information Collection, also published by Wiley.

Silvia Biffignandi is Professor of Economic and Business Statistics at the University of Bergamo in Italy, where she is also Director of the Centre for Statistical Analyses and Survey Interviewing (CASI). Dr. Biffignandi is coauthor of Handbook of Web Surveys (First Edition), published by Wiley.

1 THE ROAD TO WEB SURVEYS 

.1. Introduction

.2.n Theory

1.2.1 Everlasting Demand for Statistical Information

1.2.2 The Dawn of Sampling Theory

1.2.3 Traditional Data Collection:

1.2.4 The Era of Computer-Assisted Interviewiing

1.2.5 The Conquest of Web

1.2.6 Toward integration of web sources or to web-multisources

1.3 Application

1.4 Summary

Key Terms

Execises

References

2.  ABOUT WEB SURVEYS 

2.1 introduction

2.2. Theory

2.2.1 Typical Survey Situation

2.2.2 Why On line Data Collection?

2.2.3 Areas of Application

2.2.4 Trends in Web Surveys

2.3 Application

  2.4 Summary

Key Terms

Execises

References

2.            A FRAMEWORK FOR STEPS AND ERRORS IN WEB SURVEYS

3.1 Introduction

3.2 Theory

3.2.1  Steps

3.2.2. Steps

3.2.3 Steps

3.2.4 Comments for an expanded framework

3.3 Application

3.4 Summary

Key Terms

Execises

References

4 SAMPLING FOR WEB SURVEYS  

4.1 Introduction

4.2 Theory

4.2.1 Target Population

4.2.2 Sampling Frames

4.2.3 Basic Concepts of Sampling

4.2.4 Simple Random Sampling

4.2.5 Determining the Sample Size

4.2.6 Some Other Sampling Designs

4.2.7 Estimation Procedures

4.3 Application

4.4 Summary

Key Terms

Exercises

References

5 ERRORS IN WEB SURVEYS 

4.1 Introduction,

4.2 Theory

4.2.1 Measurement Errors

4.2.2 Nonresponse

4.3 Application

4.3.1 The Safety Monitor

4.3.2 Measurement Errors

4.3.3 Nonresponse

4.4 Summary

Key Terms

Exercises

References

6 WEB SURVEYS AND OTHER MODES OF DATA COLLECTION

6.1 Introduction

6.1.1 Modes of Data Collection

6.1.2 The Choice of the Modes of Data Collection

6.2 Theory

6.2.1 Face-To-Face Surveys

6.2.2 Telephone surveys

6.2.3 Mail Surveys

6.2.4 Web surveys

6.2.5 Mobile surveys

6.3 Application

5.4 Summary

Key Terms

Exercises

References

7 DESIGNING A WEB SURVEY QUESTIONNAIRE

7.1 Introduction

7.2 Theory

7.2.1 The Road Map Toward a Web Questionnaire

7.2.2 The Language of Questions

7.2.3 Basic Concepts of Visualization

7.2.4 Aswers types (response format)

7.2.5 Web Questionnaires and Paradata

7.2.6 Trends in Web Questionnaire Design and Visualization

7.3 Application

7.4 Summary

Key Terms

Exercises

References

8 ADAPTIVE AND RESPONSIVE DESIGN 

8.1 Introduction,

8.2 Theory

8.2.1 Terminology and rationale

8.2.2  Quality and costs functions

8.2.3  Strategy allocation and optimization

8.3 Application

8.4 Summary

Key Terms

Exercises

References 

9 MIXED-MODE SURVEYS 

9.1 Introduction,

9.2 Theory

9.2.1 Types of Mixed Mode designs

9.2.2  Mode and device effect

9.2.3 Preventing mode effects through questionnaire design

9.2.4 Avoiding mode effects b data collection design

9.2.5 Adjusting for mode effects

9.3 Application

9.4 Summary

Key Terms

Exercises

References

10 THE PROBLEM OF UNDER-COVERAGE

10.1 Introduction

10.2 Theory

10.2.1 The Internet Population

10.2.2 A Random Sample From the Internet Population

10.2.3 Reducing the Noncoverage Bias

10.2.4 Mixed-Mode Data Collection

10.3 Application

10.4 Summary

Key Terms

Exercises

References

11 THE PROBLEM OF SELF-SELECTION

11.1 Introduction

11.2 Theory,

11.2.1 Basic Sampling Theory

11.2.2 A Self-Selection Sample from the Internet Population

11.2.3 Reducing the Self-Selection Bias

11.3 Application

11.4 Summary

Key Terms

Exercises

References

12 WEIGHTING ADJUSTMENT TECHNIQUES 

12.1 Introduction

12.2 Theory

12.2.1 The Concept of Representativity

12.2.2 Poststratification

12.2.3 Generalized Regression Estimation

12.2.4 Raking Ratio Estimation

12.2.5 Calibration Estimation

12.2.6 Constraining the Values of Weights

12.2.7 Correction Using a Reference Survey

12.3 Application

12.4 Summary

Key Terms

Exercises

References  

13 USE OF RESPONSE PROPENSITIES

13.1 Introduction

13.2 Theory

13.2.1 A Simple Random Sample with Nonresponse

13.2.2 A Self-Selection Sample

13.2.3 The Response Propensity Definition

13.2.4 Models for Response Propensities

13.2.5 Correction Methods Based on Response Propensities

13.3 Application

13.3.1 Generation of the Population

13.3.2 Generation of Response Probabilities

13.3.3 Generation of the Sample

13.3.4 Computation of Response Propensities

13.3.5 Matching Response Propensities

13.3.6 Estimation of Population Characteristics

13.3.7 Evaluating the Results

13.3.8 Model Sensitivity

13.4 Summary

Key Terms

Exercises

References 

14 WEB PANELS 

14.1 Introduction

14.2 Theory

14.2.1 Web Panel Definition and Recruitment

14.2.2 Use of Web Panels

14.2.3 Web Panel Management

14.2.4 Response Rates

14.2.5 Representativity

14.3 Application

14.4 Summary

Key Terms

Exercises

References

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